Evaluating Modular House Construction Projects: A Delphi Method Enhanced by Conversational AI

被引:3
作者
Maceika, Augustinas [1 ]
Bugajev, Andrej [2 ]
Sostak, Olga R. [2 ]
机构
[1] Vilnius Gediminas Tech Univ, Fac Mech, Sauletekio Ave 11, LT-10223 Vilnius, Lithuania
[2] Vilnius Gediminas Tech Univ, Fac Fundamental Sci, Sauletekio Ave 11, LT-10223 Vilnius, Lithuania
关键词
modular building; project evaluation; ChatGPT; conversational AI; generative AI; artificial intelligence; Delphi method; MCDM; sustainability; PERFORMANCE; BUILDINGS;
D O I
10.3390/buildings14061696
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This study focuses on evaluating modular house construction projects, which is a critical segment within sustainable building practices. Despite the significant advantages of modular construction, such as enhanced resource efficiency and reduced environmental impact, existing research often overlooks its unique attributes and constraints. Our objectives were to identify crucial parameters for a comprehensive evaluation of modular construction, particularly emphasizing sustainability, and to explore how an advanced conversational AI tool, ChatGPT, can assist in modular building assessments. We employed the Delphi method to define these parameters and integrated ChatGPT to develop a robust assessment methodology. This approach allowed us to harness AI-driven insights to enrich the evaluation process. Our findings suggest that ChatGPT delivers high-quality results comparable to those produced by experts in modular building assessments. ChatGPT formulated a detailed description of the evaluation scale for each criterion, effectively outlining the guidelines for evaluating modular house projects. To illustrate the effectiveness of our proposed methodology, we applied it to a real-world modular house project in Lithuania, demonstrating how this approach can significantly contribute to advancing sustainable construction practices.
引用
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页数:36
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共 54 条
  • [11] Ching FD., 2023, ARCHITECTURE FORM SP
  • [12] Quality of urban area, distance from city centre, and housing value. Case study on real estate values in Turin
    D'Acci, Luca
    [J]. CITIES, 2019, 91 : 71 - 92
  • [13] The false positives and false negatives of generative AI detection tools in education and academic research: The case of ChatGPT
    Dalalah, Doraid
    Dalalah, Osama M. A.
    [J]. INTERNATIONAL JOURNAL OF MANAGEMENT EDUCATION, 2023, 21 (02)
  • [14] Sustainable practices in slow and fast fashion stores: What does the customer perceive?
    de Oliveira, Luana Gomes
    Miranda, Felipe G.
    de Paula Dias, Maria Amelia
    [J]. CLEANER ENGINEERING AND TECHNOLOGY, 2022, 6
  • [15] The Utility of Decision Tree and Analytics Hierarchy Process in Prioritizing of Social Aid Distribution due to Covid-19 Pandemic in Indonesia
    Diwandari, Saucha
    Sela, Enny Itje
    Syahputra, Briyan Efflin
    Parama, Nathaniela Aptanta
    Septiarini, Anindita
    [J]. JOURNAL OF ICT RESEARCH AND APPLICATIONS, 2023, 17 (01) : 82 - 97
  • [16] Modified dynamic opposite learning assisted TLBO for solving Time-Cost optimization in generalized construction projects
    Eirgash, Mohammad Azim
    Togan, Vedat
    Dede, Tayfun
    Basaga, Hasan Basri
    [J]. STRUCTURES, 2023, 53 : 806 - 821
  • [17] Building Information Modeling Execution Drivers for Sustainable Building Developments
    Famakin, Ibukun O.
    Othman, Idris
    Kineber, Ahmed Farouk
    Oke, Ayodeji Emmanuel
    Olanrewaju, Oludolapo Ibrahim
    Hamed, Mohammed Magdy
    Olayemi, Taiwo Matthew
    [J]. SUSTAINABILITY, 2023, 15 (04)
  • [18] Exploring barriers towards modular construction-A developer perspective using fuzzy DEMATEL
    Feldmann, Finn Guenther
    Birkel, Hendrik
    Hartmann, Evi
    [J]. JOURNAL OF CLEANER PRODUCTION, 2022, 367
  • [19] Green construction logistics-a multi-actor challenge
    Fredriksson, Anna
    Huge-Brodin, Maria
    [J]. RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT, 2022, 45
  • [20] Does voluntary disclosure create a green lemon problem? Energy-efficiency ratings and house prices
    Fuerst, Franz
    Warren-Myers, Georgia
    [J]. ENERGY ECONOMICS, 2018, 74 : 1 - 12